SUMMARY

• 7+ years of experience as a Python Developer, proficient coder in multiple languages and environments including Python, C, C++, HTML, JavaScript and SQL.
• Worked on several standard python packages Pandas, Matplotlib, Beautiful Soup, httplib2, Jinja2, NumPy, PySide, SciPy, wxPython, PyTables, Requests, Urllib, SQLAlchemy, MySQLDB, XMLDocx.
• Developed various Python scripts to generate reports, send FIX messages (FIX Simulator), SOAP requests, TCP/IP programming and multiprocessing jobs.
• Good experience in developing web applications and implementing Model View Control (MVC) architecture using server side applications like Django, Django REST, Flask and Pyramid.
• Extensive experience in developing Front End using HTML/HTML5, XML, DHTML CSS/CSS3, SASS, LESS, JavaScript, ReactJS, Redux, AngularJS (1.X) JQuery, JSON, Node.js, Ajax, JQUERY Bootstrap.
• Strong experience using REST Web Services for data communication between remote systems, designed, developed and testing of REST interfaces in Java.
• Expertise in working with different databases like Microsoft SQL Server, Oracle, MySQL, PostgreSQL and Good knowledge in using NoSQL databases MongoDB, HBase and Cassandra.
• Proficient in developing complex SQL queries, Stored Procedures, Functions, Packages along with performing DDL and DML operations on the database.
• Hands on Experience in Data mining and Data warehousing using ETL Tools and Proficient in Building reports and dashboards in Pentaho (BI Tool).
• Excellent working knowledge in UNIX and Linux shell environments using command line utilities.
• Application Stress tester, created and stress tested standalone, web - applications and generated graph reports.
• Experience in working on BD PaaS (Big Data Platform as a Service).
• Experience in analyzing data using Big Data Tools like Hive QL program. Also Experience in using Hbase, Oozie.
• Extensively used SQL, Numpy, Pandas, Scikit-learn, Spark, Hive for Data Analysis and Model building.
• Extensively worked on Hadoop, Hive, Spark, Cassandra to build ETL and Data Processing systems having various data sources, data targets and data formats
• Excellent knowledge of Machine Learning, Mathematical Modeling and Operations Research. Comfortable with R, Python, and Relational databases. Deep understanding and exposure of Big Data Eco - system.
• Experienced in implementing Cloud solutions in AWS (EC2, EMR. S3, Cloudwatch, Lambda, Cloudtrail, SNS, SES, EBS, CLI, VPC, ELB, IAM, Redshift, RDS, Root53), Google Cloud, Microsoft Azure.
• Strong knowledge of Data Structures and Algorithms, Object Oriented Analysis, Machine learning and software design patterns.
• Expertized in Implementing Spark using Scala and SparkSQL for faster testing and processing of data.
• Hands on experience with Spark-Scala programming with good knowledge on Spark Architecture and its In-memory Processing and Experience with Unit testing/ Test driven Development (TDD), Load Testing.
• Hands on experience working in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, MySQL, and Python/PHP) Architecture.
• Expertise in Production support. Provided first, second and third level support to different organizations. Used Jira, Gitlab, pdb, gdb and other debugging tools and deployed production hot fixes.
• Experience with Agile, Scrum and Waterfall methodologies. Used ticketing systems like Jira and Bugzilla
• Knowledge of testing deployment and deployment tools using Heroku, Jenkins, pylint, cppCheck and Coverity.
• Expert at version control systems like Git, GitHub, SVN and CVS. Migrated repos from SVN to GitHub.
• Familiarity with development best practices such as code reviews, unit testing, system integration testing (SIT) and user acceptance testing (UAT).
• Experience in writing test scripts, test cases, test specifications and test coverage.
• Experience in Test driven development for functional and integration testing using Python PyUnit for unit Testing and for Test Automation used Robot and Selenium frameworks.

TECHNICAL SKILLS

Programming Languages: Python, R, C, C++, C# and Core Java

Python Frameworks and Libraries: Python, Django, Flask, Pandas, Matplotlib, Beautiful Soup, httplib2, Jinja2, NumPy, PySide, SciPy, wxPython, PyTables, Requests, Urllib, SQLAlchemy, MySQLDB, XMLDocx.

Web Technologies: HTML, CSS, JavaScript, Bootstrap, JQuery, AJAX, XML, Angular JS, Node JS

Development/ Deployment Tools: Sublime Text, Eclipse, EMACS, Jenkins, Coverity, pyLint, PyCharm, Spyder, Docker, Kubernetes

Databases: Microsoft SQL Server, Oracle, MySQL, MS Access, PostgreSQL

NoSQL databases: Mongo DB, Cassandra, HBase.

Cloud Technologies: AWS, Amazon EC2, S3, EMR, Lambda, Redshift, Heroku, MS Azure.

Operating Systems: Linux 4.x/5.x/6.x, Ubuntu, Red Hat Linux, Windows server 2008, 2012, IBM AIX.

Version Controls: CVS, SVN, Git, GitHub.

Testing, Issue Tracking and Debugging Tools: Jira, PDB, GDB, Bugzilla, Gitlab.

Automation Testing: Selenium, Robot, PyTest.

Development Methodologies: Agile, SCRUM and Waterfall.

PROFESSIONAL EXPERIENCE

Confidential, Houston, TX

Senior Python Developer

Responsibilities:

• Used Python programming and Django for the backend development, Bootstrap and Angular for frontend connectivity and MongoDB for database.
• Designed and developed the complete admin module and resolved issues and enhanced the Admin module for more achievements.
• Developed test automation framework scripts using Python Selenium WebDrive.
• Tested compatibility of application for dynamic and static content in cross browsers such as Chrome, IE, Edge, Firefox and Safari.
• Setup Selenium GRID to run automation scripts on different browsers.
• Implemented programming automations using Jenkins and Ansible on unix/linux OS over cloud like Docker.
• Automated MySQL container deployment in Docker using Python and monitoring of these containers.
• Automated most of task using python scripting, RaspberryPI and Raspbian OS, and Unix/Linux shell Scripting.
• Developed a Django ORM module queries that can pre-load data to reduce the number of databases queries needed to retrieve the same amount of data.
• Developed Restful micro services using Flask and Django and deployed on AWS servers using EBS and EC2.
• Developed views and templates with Django view controller and template to create a user-friendly website interface.
• Identified and created issues and bugs based on the User Stories in JIRA.
• Worked on REST Web Services for data communication between remote systems, designed, developed and testing of REST interfaces in Java.
• Used JavaScript for data validations and designed validations modules.
• Developed project's web page as Single Page Application (SPA) by using AngularJS and JavaScript API and build delivery driver application.
• Used Pandas API to put the data as time series and tabular format for local timestamp data manipulation and retrieval and storing it into MongoDB.
• Deployed and tested different modules in Docker containers and GIT.
• Used Python Library Beautiful Soup for web scrapping to extract data for building graphs
• Uploaded the admin module on Elastic Bean Stalk (EBS) & EC2 and stored the static files in S3 on Amazon cloud.
• Track automation results on a daily basis for better performance in testing.
• Followed Agile testing methodology, participated in daily Scrum meetings and tested each Sprint deliverables.

Environment: s: Python, Django, Django Rest, Flask, AngularJS, JavaScript, Jenkins, Dockers, Container, GitHub, Ansible, Java, HTML5/CSS, Bootstrap, Selenium & Robot Framework, Jira, MS SQL Server 2013, AWS, S3, EC2, EBS, MySQL, PyCharm, Linux, Shell Scripting, JIRA.

Confidential, Framingham, MA

Python Full Stack Engineer

Responsibilities:

• Developed Python Django forms to record data and the Login module page for users.
• Designed email marketing campaigns and created interactive forms that saved data into database using Django Framework.
• Developed the automated process for processing the payer acknowledgements that helped in resubmitting the medical claims automatically using PERL and DBI modules.
• Worked on Technologies: QT, JAVASCRIPT, QML, Unit Test, C++, QNX, UML API, JavaScript & Json.
• Used collections in Python for manipulating and looping through different your defined objects and worked in Test driven development with Behave in Python.
• Experience in UNIX/Linux shell scripting for job scheduling, batch-job scheduling, automating batch programs, forking and cloning jobs.
• Wrote Python routines to log into the websites and fetch data for selected options.
• Improving the performance while processing data by modifying functions, queries, cursors, triggers and stored procedures for MySQL database.
• Extracted data from XML files using PERL -XML modules.
• Developed the consumer-friendly front-end with an easy-to-use API UI and fast access RESTFUL.
• Worked with JSON based REST Web services.
• Use of API, Open NLP & Stanford NLP for Natural Language Processing and sentiment analysis.
• Embedded AJAX in UI to update small portions of the web page avoiding the need to reload the entire page.
• Developed views and templates with python and Django's view controller and templating language to create a user-friendly website interface.
• Used Amazon Web Services (AWS) for improved efficiency of storage and fast access.
• Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud.
• Participated in the complete SDLC process and used PHP to develop website functionality.
• Designed and developed the UI of the website using HTML, XHTML, AJAX, unittest, GCP CSS, JAVASCRIPT and JavaScript.
• Developed entire frontend and backend modules using python on Django Web Framework.
• Designed and developed data management system using MySQL.
• Used Django APIs for database access and built application logic using python.
• Provided GUI utilizing PyQt for the end user to create, modify and view reports based on client data.
• Used python to extract information from XML files.
• Expertise in Service Oriented Architecture (SOA) and its related technologies like Web Services, BPEL, WSDLs, AWS, SOAP, API, XML, XSD, XSLT etc.
• Worked on development of SQL and stored procedures on MYSQL and designed Cassandra schema for the APIs.
• Designed and developed a horizontally APIble APIs using python Flask and implemented monitoring and established best practices around using elastic search.

Confidential, Tampa, FL

Python Data Engineer

Responsibilities:

• Utilized Apache Spark with Python to develop and execute Big Data Analytics and Machine learning applications, executed Machine Learning use cases under Spark ML and Mllib.
• Identified areas of improvement in existing business by unearthing insights by analyzing vast amount of data using machine learning techniques.
• Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics.
• Designed and developed NLP models for sentiment analysis.
• Led discussions with users to gather business processes requirements and data requirements to develop a variety of Conceptual, Logical and Physical Data Models. Expert in Business Intelligence and Data Visualization tools: Tableau, Microstrategy.
• Creating data pipelines using Apache Spark, a big-data processing and computing framework and Updated and maintained Jenkins for automatic building jobs and deployment.
• Worked on machine learning on large size data using Spark and MapReduce.
• Let the implementation of new statistical algorithms and operators on Big Data and SQL platforms and utilized optimizations techniques, linear regressions, K-means clustering, Native Bayes and other approaches.
• Developed Spark/Scala, Python for regular expression (regex) project in the Big Data Hive environment with Linux/Windows for big data resources.
• Data sources are extracted, transformed and loaded to generate CSV data files with Python programming and SQL queries.
• Stored and retrieved data from data-warehouses using Amazon Redshift.
• Worked on TeradataSQL queries, Teradata Indexes, Utilities such as Mload, Tpump, Fast load and FastExport.
• Used Data Warehousing Concepts like Ralph Kimball Methodology, Bill Inmon Methodology, OLAP, OLTP, Star Schema, Snow Flake Schema, Fact Table and Dimension Table.
• Refined time-series data and validated mathematical models using analytical tools like R and SPSS to reduce forecasting errors.
• Worked on data pre-processing and cleaning the data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python.
• Familiarity in working with TCP/IP, IPv4, and IPv6 protocols in an environment, which provides multithreading, multi tenancy and high availability support at Network Layer.
• Created Data Quality Scripts using SQL and Hive to validate successful das ta load and quality of the data. Created various types of data visualizations using Python and Tableau.

Environment: Python, Django, Big Data, Map Reduce, Spark, Spark MLLib, Tableau, SQL, Excel, VBA, SAS, Matlab, AWS, SPSS, Cassandra, Oracle, MongoDB, SQL Server 2012, DB2, T-SQL, PL/SQL, XML, Tableau